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Sehoon Ha

37 papers hereh-index 266.5k citations69 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author16
  • last author18

Across the 35 of 37 papers where every author was matched, so the position is known.

fields
  • cs.RO31
  • cs.LG4
  • cs.AI1
  • cs.CV1
same name
  • Sehoon Ha — 7 papers, h 2
  • Sehoon Ha — 6 papers, h 3
  • Sehoon Ha — 6 papers, h 2
  • Sehoon Ha — 6 papers, h 6
  • Sehoon Ha — 5 papers, h 3
  • Sehoon Ha — 4 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedSoft Actor-Critic Algorithms and Applications

2k citations · 2.2k across the 36 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

cs.RO2019

Learning a Control Policy for Fall Prevention on an Assistive Walking Device

Visak C V Kumar, Sehoon Ha, Gergory Sawicki +1

Fall prevention is one of the most important components in senior care. We present a technique to augment an assistive walking device with the ability to prevent falls. Given an ex…

cs.RO2019★ 12 cited

Learning Fast Adaptation with Meta Strategy Optimization

Wenhao Yu, Jie Tan, Yunfei Bai +2

The ability to walk in new scenarios is a key milestone on the path toward real-world applications of legged robots. In this work, we introduce Meta Strategy Optimization, a meta-l…

cs.AI2019★ 5 cited

Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation

Xinlei Pan, Tingnan Zhang, Brian Ichter +3

Imitation learning is a popular approach for training visual navigation policies. However, collecting expert demonstrations for legged robots is challenging as these robots can be…

cs.LG2019★ 2k cited

Soft Actor-Critic Algorithms and Applications

Tuomas Haarnoja, Aurick Zhou, Kristian Hartikainen +8

Model-free deep reinforcement learning (RL) algorithms have been successfully applied to a range of challenging sequential decision making and control tasks. However, these methods…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.